Advisor - AI Engineering

1 week ago

pune, India MRO Careers Full time

The Senior Generative AI Advisor will be responsible for designing, developing, and deploying state-of-the-art generative AI solutions and pipelines across GCP, Azure, and AWS. This role requires expertise in prompt engineering, model fine-tuning, embeddings, and RAG pipelines. The ideal candidate will bring technical excellence, cloud expertise, and practical experience in production-grade AI deployments and delivery for product and business stakeholders.Key Responsibilities:  Design, develop, and deploy generative AI solutions using models such as Google Gemini, Azure OpenAI - GPT, or AWS Nova.  Build and maintain scalable AI pipelines including RAG pipelines, vector databases, and embedding models. Conduct prompt engineering and implement best practices for model performance and usability. Implement and optimize AI/ML workflows on cloud platforms: GCP (Vertex AI, Cloud Run, Pub/Sub, Observability), Azure, AWS. Perform model fine-tuning, evaluations, and experimentation to improve generative AI outputs. Collaborate with cross-functional teams to integrate AI solutions into applications and products. Ensure technical excellence, scalability, and robustness in AI systems. Stay up to date with emerging generative AI techniques and best practices.  Required Qualifications: Bachelor's or master's degree in computer science, Artificial Intelligence, Machine Learning, or related field. 8+ years of professional experience in AI/ML with at least 2+ years focused on Generative AI. Hands-on experience with cloud platforms: GCP - (Vertex AI, Cloud Run, Pub/Sub), Azure (OpenAI Service /Azure Foundry), or AWS Bedrock. Expertise in prompt engineering, embeddings, RAG pipelines, and vector databases. Strong Python programming skills and experience with ML frameworks (Hugging Face, PyTorch, TensorFlow). Experience implementing AI pipelines, MLOps, and model lifecycle management in production environments. Experience in model fine-tuning, optimization, evaluation, and deployment. Strong understanding of machine learning concepts, data pipelines, and production-ready AI systems. Proven ability to consult with business stakeholders to deliver effective, technically excellent, scalable AI solutions.  Preferred Skills: Familiarity with vector databases (Pinecone, Chroma) and RAG frameworks. Familiarity with MLOps practices, CI/CD pipelines, and containerization (Docker/Kubernetes). Strong presentation, communication, and stakeholder advisory skills. Background in AI consulting, innovation labs, or R&D environments is a plus. Experience in the healthcare domain. 

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